Nim vs Python

Nim vs Python | Popularity, Salary, Performance, Features, and Applications

Nim is a modern, compiled system programming language that is easier to work with than C or C++.

If you are interested in embedded, hard-realtime systems, web development, game development, developing Graphical User Interfaces, you should learn Nim over Python.

Nim is a statically typed compiled, high-level systems programming language. It combines successful concepts from mature languages like Python, Ada, and Modula.

On the other hand, If you are interested in web development, machine learning, automation tools, and data science, data analytics, you should learn Python over Nim.

Python is a general-purpose programming language that focuses on simplicity and readability.

Rather than building all of its functionality into its core, Python was designed to be highly extensible through modules.

Python is commonly used for web development, GUI development, system administration, software development, automation, testing tools, machine learning, data analytics, data visualization, and data science.

Python stats

Comparing programming languages and choosing which one to learn or use for your next project can be tricky.

There are many factors to consider in order to choose the right programming language for the job you want to do.

Popularity, opportunities, type of projects, salaries, resources, learning curve, etc. are some of the factors that many people consider when comparing programming languages and choosing which one to learn or use.

Here are some of the comparisons and considerations you should make:


Comparing the popularity of programming languages is not an easy task because each programming language is different.

Although the usage of many programming languages may intersect, different fields and projects may require the use of different programming languages.

Plus, other programming languages have been around for a longer time than others, giving them more time to be tried and tested, so, bear that in mind.

If you want to learn a programming language solely for its popularity among developers, you should learn Python over Nim.

Generally, Python is more popular than Nim. As of September 2023, the TIOBE INDEX ranks Python as the most popular programming language while Nim does not appear in the top 50 popular programming languages.

According to a Stack Overflow survey of 2023, Python is the 3rd most commonly used programming language, it is used by 49.28% of developers.

On the other hand, Nim is the 48th most commonly used programming language, it is used by 0.38% of developers according to the same survey.

Further Python is admired by more developers than Nim, Python is admired by 65.52% of developers. On the other hand, Nim is admired by 53.78% of developers.

Ultimately, if your choice of which programming language to learn depends on popularity, you should learn Python over Nim.

Also read, Is Python Enough to Get a Job?


Another popular criterion that many people use to compare programming languages and as an incentive to learn a new programming language is salary.

Salaries for developers differ from one company to the other and from one country to the other.

Experience is another factor that comes into play as far as salaries are concerned.

The more experience you have with a certain technology or programming language, the more likely you are to get a higher salary.

Generally, Nim developers get higher salaries than Python developers.

The 2023 Stack Overflow survey of top-paying programming languages revealed that Nim developers get a median salary of $80,000 per year.

On the other hand, Python developers get a median salary of $78,331 per year, about $1,600 less than Nim developers.

So, if the salary is your major incentive for learning a programming language, you should learn Nim over Python.

You are more likely to get a higher salary as a Nim developer than as a Python developer.

Here are 10 Programming Languages that Pay more than $90,000


Yes, Python is generally easier than Nim. Python has an English-like, easy-to-understand syntax that makes it very easy to write code.

It is also easy to maintain and debug Python code because it is more readable. Getting started with Python as a complete beginner is very easy than many other programming languages.

Python is the programming language that is mostly recommended for those completely new to programming.

Nim is also easy to learn and work with. Nim has an English-like syntax that is similar to Python.

The Nim syntax is easily understood and results in code that can be modified very effectively. This makes it very easy to pick up even for complete beginners.

The good news is that there are a lot of helpful resources for both Python and Nim to help you learn the languages.

The Python and Nim communities are very active and helpful, in case you get stuck with something.


Nim is inspired by Python, as a result, their English-like syntax are a little bit similar.

Nim and Python both prioritize code readability. They use clean and easily understandable syntax, making it easier for developers to write and maintain code.

However, there are a lot of differences between Nim and Python.

Nim is a compiled language, meaning the code is translated into machine code or an intermediate form before execution, leading to better performance.

Python is an interpreted language, executed line-by-line by the Python interpreter, which can be slower.

Nim provides low-level features like manual memory management and fine-grained control over memory layout, which Python lacks.

This makes Nim suitable for systems programming and tasks that require low-level control.


Nim is a modern, compiled, systems language that is designed for performance. Generally, Nim is more performant than Python.

Nim is a high-performance language, it has modern concepts like zero-overhead iterators and compile-time evaluation of user-defined functions which lead to extremely performant code.

Nim also offers multiple garbage collection strategies, including manual memory management, reference counting, and more advanced garbage collection techniques.

This flexibility allows you to choose the most suitable approach for your performance needs.

Nim provides a high level of control over memory management and allows you to work at a low level when needed.

This can be useful for tasks that require fine-tuning memory usage and performance, such as systems programming or building high-performance libraries.


Nim compiles to efficient native code, which often results in significantly better performance than Python.

Nim is better than Python for computationally intensive tasks, systems programming, and real-time applications.

Nim is also better than Python for low-level control. Nim provides low-level features, such as manual memory management, pointer arithmetic, and fine-grained control over memory layout.

This makes it suitable for tasks that require close interaction with hardware or need to be highly optimized.

Python is better than Nim for Web development, machine learning, data science, automation, and rapid prototyping.

Python has a vast ecosystem of libraries and frameworks for various purposes, such as web development (Django, Flask), data analysis (Pandas, NumPy), machine learning (TensorFlow, PyTorch), and more.

Python is often used for scripting, automation, and glue code due to its simplicity and ease of use.

Python is a better choice than Nim for tasks like web scraping, data manipulation, and writing small utility scripts.



Nim was designed to be efficient, expressive, and elegant. It supports foreign function interface with languages like C, C++, Objective-C, and JavaScript.

It also supports compiling to those same languages as intermediate representations.

Nim generates native dependency-free executables, not dependent on a virtual machine, which are small and can be easily redistribution.

The Nim compiler and the generated executables support all major platforms like Windows, Linux, BSD, and macOS.


Python has a large standard library that provides tools and features suited for many applications.

It supports many standard protocols and formats like HTTP, MIME, and many others.

It also includes modules that can be used for relational database connection, unit testing, and manipulation of regular expressions.

Python has many amazing features, libraries, and packages that make it a popular choice for web development, scientific and numeric applications, system administration, GUI development, and more.

Python powers some of the complex applications developed by companies like Google, NASA, IBM, Microsoft, Meta, Cisco, Duolingo, Pinterest, Reddit, Pixar, Netflix, and many others.


Once you have compared the languages and evaluated all the factors, you can choose which programming language to learn or use depending on the factors that are on your side and what you want to build.

If you want an easy-to-use language for embedded, hard-realtime systems, web development, game development, developing Graphical User Interfaces, you should learn Nim over Python.

If you want a popular language for developing applications quickly and working on machine learning, data science, automation tools, and web applications, you should learn Python over Nim